Particulate matter (PM) emissions analysis for commercial aircraft operating in the landing and takeoff (LTO) cycle
"The UMR Mobile Aerosol Sampling System (MASS) has measured the particulate matter (PM) emissions from commercial aircrafts during the routine takeoff operation within 100m of a runway and 200m of a taxiway at a major US airport for two days in September 2004. The emissions were measured with 1s time resolution using a differential mobility spectrometer (DMS500). The plumes were measured for 2 days, from over 400 commercial aircrafts, ranging from 717's, 767's, MD-88's, to Turboprop's...In order to interpret these PM data it is important to be able to uniquely identify a given aircraft with a specific emission plume. As is common at many airports departure frequency varies throughout the day. At high departure frequencies, the data gathered cannot be attributed to any specific single aircraft since the emission plumes arriving at the sampling system are convoluted by overlapping departures and from up;wind aircraft stopping and starting while taxiing forward in a line towards the number one departure slot. The data presented here are "first of a kind" PM measurements of advective plumes from commercial aircraft. Although it is planned to eventually interpret high frequency departure data, in this thesis only low frequency departure data specifically attributable to given aircraft will be studied"--Abstract, leaf iii.
M.S. in Chemistry
University of Missouri--Rolla
ix, 51 leaves
© 2005 Niharika Burla, All rights reserved.
Thesis - Citation
Aircraft exhaust emissions -- Measurement
Particles -- Environmental aspects
Particles -- Measurement
Air -- Pollution
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Link to Catalog Record
Full-text not available: Request this publication directly from Missouri S&T Library or contact your local library.http://laurel.lso.missouri.edu/record=b5727944~S5
Burla, Niharika, "Particulate matter (PM) emissions analysis for commercial aircraft operating in the landing and takeoff (LTO) cycle" (2005). Masters Theses. 5853.
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